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Cuda Jobs (NOW HIRING)

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Austin, TX

$121K - $160K/yr

CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Austin, TX · On-site

$121K - $160K/yr

CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( * You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the ...

Dalcom LLC

C++/CUDA-Signal Processing Engineer

Aberdeen, MD · On-site

$140K - $176K/yr

C++/CUDA Signal Processing Engineer Company: Dalcom Engineering Location: Aberdeen Proving Ground, MD Salary: $140,000-$176,000 Position Overview: Dalcom Engineering is currently seeking a software ...

Nvidia

OR

$122K - $161K/yr

CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$137K - $180K/yr

CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the ...

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$111.5K

$206K

How much do cuda jobs pay per year?

As of Jun 29, 2026, the average yearly pay for cuda in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a CUDA Developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA Developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What is a Cuda job?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are CUDA developers?

CUDA developers are software engineers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). Their primary focus is on parallel computing, optimizing algorithms to leverage GPU acceleration for tasks such as scientific computing, machine learning, and data processing. These professionals typically have strong skills in C, C++, and Python, and a solid understanding of GPU hardware. CUDA developers are in demand in industries that require high-performance computing solutions.
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Cuda jobs near you
Senior System Software Engineer - CUDA Chips

Senior System Software Engineer - CUDA Chips

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 5 days ago

Job description

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.

CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!

What you'll be doing:

You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!

In this role, you will:

  • Develop Software on Pre-Si environments(Simulation/Emulation)

  • Own and drive CUDA enablement for new Silicon and Architecture

  • Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems

  • Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips

  • Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams

  • Write effective, maintainable, and well-tested code

  • Developing code for multiple operating systems

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience

  • 5+ years of relevant systems software development experience

  • Strong C programming skills, knowledge of parallel programming

  • Excellent knowledge of computer system architectures

  • Experience with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

  • Background with working with large codebases

  • Deep understanding of technology and passionate about what you do

  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups

Ways to stand out from the crowd:

  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

  • Knowledge of memory coherence and consistency models

  • Background with kernel mode development

  • Experience with Windows, Linux, or macOS driver development

  • Some familiarity with C++, CUDA experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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